PASCAL Parts dataset

PASCAL Parts dataset is a computer vision dataset that was released in 2010 by the University of Oxford's Visual Geometry Group. It is a subset of the PASCAL VOC (Visual Object Classes) dataset, which contains images of 20 object categories, such as person, car, and airplane. The PASCAL Parts dataset provides additional annotations for these objects, including part locations and part labels.

The dataset consists of 10,103 images, each with multiple object instances labeled with part locations and part labels. The part labels include head, torso, legs, arms, wheels, and other specific parts of each object category. The dataset is commonly used for tasks such as object recognition, object detection, and semantic segmentation.

The PASCAL Parts dataset is available for download from the Visual Geometry Group's website.